Carbon based flow-electrodes are an increasing research field and find potential application in water treatment processes as well as energy conversion and storage. Flow-electrodes usually consist of a pumpable carbon slurry made of carbon particles suspended in a liquid electrolyte solution. One application for flowelectrodes is flow-electrode capacitive deionization (FCDI), which is a membrane-based, electrically-driven desalination method using mostly activated carbon as active material. In contrast to capacitive deionization (CDI) systems based on static electrodes, the use of flow-electrodes enables a continuous operation and the treatment of high salinity solutions. However, it was observed that the performance of FCDI processes heavily relies on the activated carbon quality. The process performance results from a wide range of parameters, including the activated carbon sample characteristics, which are usually not sufficiently covered and predicted by standard carbon analyses. With this article, we establish a foundation for applying electrochemical impedance spectroscopy (EIS) as predictive characterization method for flow-electrode materials. This includes the investigation of influencing system parameters and carbon characteristics, and the development of an equivalent circuit model. Finally, we demonstrate the possibility to predict and match the desalination performance of flow-electrodes based on different activated carbon types using EIS.